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- from langchain.chat_models import ChatOpenAI
- #from langchain.llms import OpenAI
- from langchain.chains import ConversationChain
- from langchain.memory import ConversationBufferWindowMemory
- from langchain.prompts.prompt import PromptTemplate
- from langchain.schema import messages_from_dict, messages_to_dict
- from langchain.schema.messages import SystemMessage
- from time import sleep
- import sys
- import os
-
- logfile = None
-
-
- def slowprint(s, logfile=None):
- for c in s+'\n':
- sys.stdout.write(c)
- sys.stdout.flush()
- sleep(0.01)
- if logfile:
- logfile.write(s+'\n')
-
- MODEL_NAME = "gpt-3.5-turbo-16k-0613"
-
- # Read prompt template
- template = open("prompt-template.txt").read().strip()
-
- PROMPT = PromptTemplate(input_variables=["history", "input"], template=template)
-
- memory = ConversationBufferWindowMemory(ai_prefix="DoctorK", human_prefix="JJ", k=64)
- for line in open("book-chats.txt").readlines():
- v=[s.strip() for s in line.split(":")]
- if len(v)!=2:
- continue
- if v[0].lower()=="doc":
- memory.chat_memory.add_ai_message(v[1])
- elif v[0].lower()=="sys":
- ### add_system_message() method doesn't exist [yet?]
- memory.chat_memory.add_message(SystemMessage(content=v[1]))
- else:
- memory.chat_memory.add_user_message(v[1])
-
- conversation = ConversationChain(
- prompt=PROMPT,
- llm=ChatOpenAI(model_name=MODEL_NAME),
- verbose=False,
- memory=memory
- )
-
- sys.stderr.write("{esc}[2J{esc}[H".format(esc=chr(27))) # Clear screen ;)
- sys.stderr.flush()
-
- if len(sys.argv)>1:
- try:
- logfile = open(sys.argv[1], "w")
- logfile.write('\ufeff') # Claim our rightful UTF-8 by land sea and web
- except:
- slowprint("Couldn't open log file '{}'!!!\n".format(sys.argv[1]))
-
- slowprint("""=====================================================================
- Interactive Talk-Program loaded and started.
- Users:
- * [Doctor Kernel]
- * [JJ] <- you
- Hit <Enter> to exit
- =====================================================================""", logfile)
- slowprint("Doctor Kernel: {}\n".format(
- conversation.predict(input="Hello again, doctor. Please remind me what we were talking about during our previous sessions.")), logfile)
- while True:
- try:
- prompt = input("JJ: > ").strip()
- except EOFError:
- prompt = ""
- except KeyboardInterrupt: # Might not be caught inside a .sh...
- prompt = ""
- if not prompt:
- slowprint("""
- =====================================================================
- End of Talk
- =====================================================================""",
- logfile)
- sys.exit(0)
- if logfile:
- logfile.write("JJ: {}\n\n".format(prompt))
- print('') # Skip a line
- slowprint("Doctor Kernel: {}\n".format(conversation.predict(input=prompt)), logfile)
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